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Datavant

De-identification and linking health data SaaS

Inpatient Audit Specialist

Clinical Support & Patient AdministrationConfirmed live in the last 24 hours
Part-timeRemote in USA

About the Job

Requirements

  • At least 5 years of facility inpatient coding experience and/or auditing experience.
  • CCS credential is required.
  • Maintain a 95% DRG accuracy rate.
  • Experience with software such as Epic, Cerner, and other prevalent electronic medical records systems.
  • Excellent query-writing skills.
  • Spinal experience is a plus.
  • Strong organizational, teamwork, and leadership skills.
  • Must be customer-service focused and demonstrate professionalism, flexibility, dependability, a desire to learn, and commitment to excellence and the profession.

Responsibilities

  • Perform inpatient facility coding audits according to the scope of work for onboarding, focused reviews, service level agreements, or other review types, using appropriate code assignment and other coding-related elements with MS-DRG or APR-DRG.
  • Provide concise rationale for identified changes, including specific references and documentation locations.
  • Keep abreast of regulatory changes.
  • Organize and prioritize multiple cases concurrently to support workflow and turnaround time.
  • Provide coder education through the auditing process.
  • Function in a professional, efficient, and positive manner.
  • Adhere to the American Health Information Management Association’s code of ethics.
  • Address consulting and educational needs related to coding quality, compliance assessments, external payer reviews, coding education, and coding workflow operations reviews.
  • Provide information tailored to customer needs and identify and present solutions to customer issues.

Desired Qualifications

  • RHIA or RHIT credential preferred.

About the Company

Datavant

De-identification and linking health data SaaS

Datavant provides software to securely share health data by removing personal identifiers and linking records from multiple sources. Its SaaS platform de-identifies datasets and connects data across hospitals, research centers, pharma, and public health groups for cohesive analysis. It differentiates itself by combining privacy-preserving de-identification with cross-source data linkage in the health sector, supporting interoperability while protecting privacy. Its goal is to enable secure, privacy-friendly exchange of health information to advance research, patient care, and public health.

Company size
5,001-10,000
Company stage
Series B
Total funding
$80.5M
Headquarters
San Francisco, CA
Founded
2017

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